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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@finessewhale
finessewhale / Interview.md
Created January 9, 2024 17:01
Вопросы которые встречались на интервью 2022-2023 на позицию Rust разработчика

Вопросы к собеседованию Rust разработчика

Rust

  1. Рассказать про статическую и динамическую диспетчеризации.
  2. Что такое мономорфизация?
  3. Какие гарантии даёт safe код?
  4. Как устроена обработка ошибок?
  5. Как rust помогает писать многопоточный код?
  6. Почему RwLock требует T: Send + Sync, а Mutex только T: Send?
@werew
werew / r2_essential_cheatsheet.md
Last active April 23, 2026 20:48
Radare2 - essential cheatsheet

The full updated Radare2 (official) cheatsheet can be found here: https://github.com/radare/radare2/blob/master/doc/intro.md

I use this gist to gather the Radare2's commands I use the most and add some notes that the official cheatsheet is missing.

Radare2

Command line options

-w: Write mode enabled
-p [prj]: Creates a project for the file being analyzed (CC add a comment when opening a file as a project)
@Antosik
Antosik / Internship.md
Last active April 23, 2026 20:38
IT Стажировки в Москве и России

Список IT стажировок и вакансий без опыта в Москве и России

  • Яндекс
    • Программы стажировок
      • Разработка (Python, C++, Java, Go, Kotlin, Scala, C, Flutter, фронтенд, DevOps, Android, iOS) *Машинное обучение
      • Аналитика данных
      • Информационная безопасность
      • Тестирование
  • Менеджмент